Complex Noise Suppression Using a Robust Dictionary Learning Approach

Seismic data comprise reflection signals and various types of noise, including random high-frequency ambient noise, high-amplitude noise, and low-frequency ground-roll noise. Noise removal while protecting useful signals has been the long-term research focus of seismic exploration and data processin...

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Veröffentlicht in:	IEEE geoscience and remote sensing letters 2025, Vol.22, p.1-5
1. Verfasser:	Feng, Zhenjie
Format:	Artikel
Sprache:	eng
Schlagworte:	Ambient noise Amplitude Amplitudes Data analysis Data processing Dictionaries Dictionary learning Geoscience and remote sensing Glossaries ground-roll Iterative methods Learning Lubricating oils Machine learning Noise Noise measurement Noise reduction Reflection Robustness Seismic activity Seismic data seismic data processing Seismic exploration Seismological data signal leakage Signal processing Signal reflection Vectors
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